Miniaturization of Monopole Patch Antenna with Extended UWB Spectrum via Novel Hybrid Heuristic Approach

Many of the wireless systems employ ultra wide band (UWB) for its efficient data rate and optimal power consumption. However, all the wireless devices need to have antenna size as small as possible. It is therefore important to design an antenna having the desired UWB features along with highest pos...

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Published inWireless personal communications Vol. 109; no. 1; pp. 539 - 562
Main Authors Zubair, Muhammad, Ahmad, Jawwad, Rizvi, Syed Sajjad Hussain
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2019
Springer Nature B.V
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Abstract Many of the wireless systems employ ultra wide band (UWB) for its efficient data rate and optimal power consumption. However, all the wireless devices need to have antenna size as small as possible. It is therefore important to design an antenna having the desired UWB features along with highest possible degree of miniaturization. In addition, it gives sufficient flexibility if different geometrical shaped antennas have the same physical and/or electro-magnetic characteristics. To jointly design such multi featured antennas is a complex multi objective optimization problem. These types of problems cannot be solved through classical numerical approaches; instead they require soft computing techniques to find the optimum results. This paper proposes a novel hybrid genetic particle swarm optimization algorithm to jointly optimize three printed monopole antennas for high degree of miniaturization. Moreover, attempt is also made to extend UWB spectrum to have more room for data transmission. The results are effective and promising.
AbstractList Many of the wireless systems employ ultra wide band (UWB) for its efficient data rate and optimal power consumption. However, all the wireless devices need to have antenna size as small as possible. It is therefore important to design an antenna having the desired UWB features along with highest possible degree of miniaturization. In addition, it gives sufficient flexibility if different geometrical shaped antennas have the same physical and/or electro-magnetic characteristics. To jointly design such multi featured antennas is a complex multi objective optimization problem. These types of problems cannot be solved through classical numerical approaches; instead they require soft computing techniques to find the optimum results. This paper proposes a novel hybrid genetic particle swarm optimization algorithm to jointly optimize three printed monopole antennas for high degree of miniaturization. Moreover, attempt is also made to extend UWB spectrum to have more room for data transmission. The results are effective and promising.
Author Zubair, Muhammad
Ahmad, Jawwad
Rizvi, Syed Sajjad Hussain
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  surname: Rizvi
  fullname: Rizvi, Syed Sajjad Hussain
  organization: Hamdard University
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Issue 1
Keywords Miniaturization
Heuristic approach
Patch antenna
Hybrid algorithm
Ultra wide band
Language English
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Snippet Many of the wireless systems employ ultra wide band (UWB) for its efficient data rate and optimal power consumption. However, all the wireless devices need to...
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StartPage 539
SubjectTerms Algorithms
Antenna design
Communications Engineering
Computer Communication Networks
Data transmission
Engineering
Heuristic methods
Magnetic properties
Miniaturization
Monopole antennas
Monopoles
Networks
Particle swarm optimization
Patch antennas
Power consumption
Signal,Image and Speech Processing
Soft computing
Wideband communications
Title Miniaturization of Monopole Patch Antenna with Extended UWB Spectrum via Novel Hybrid Heuristic Approach
URI https://link.springer.com/article/10.1007/s11277-019-06578-6
https://www.proquest.com/docview/2305525608
Volume 109
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